التقنية : الميتافيرس

الرئيس التنفيذي لأمن الذكاء الاصطناعي ™

Chief AI Security Overseer (CAISO)™ Workshop

Become the First Line of Defense for AI Systems:  The CAISO™ Certification Course equips next-generation AI security leaders to build, govern, and protect enterprise AI systems. As AI adoption scales, organizations need specialized executive roles capable of navigating both cybersecurity and AI governance. The CAISO™ is that role—focused on AI model integrity, ethical governance, adversarial defense, and cross-functional leadership.

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About the Workshop

The Chief AI Security Officer (CAISO)course is a 5-day executive-level immersion program designed to:

  • – Define the structure and responsibilities of a CAISO Office
  • – Build and manage an AI Security Operations Center (AISOC) Framework
  • – Integrate AI Governance, Risk, and Compliance (AI-GRC)
  • – Lead cross-functional security programs that align AI with enterprise security

Unlike traditional CISO trainings, this course focuses on the unique threats, compliance challenges, and lifecycle vulnerabilities of AI systems, preparing participants to lead secure and responsible AI adoption at the C-suite level.

The course is designed for those interested in the design, implementation and responsible use of artificial intelligence systems and products within their organization.

  • Chief AI Officers (CAIOs) aiming to build out the AI security function
  • CISOs, CTOs, or CROs expanding oversight to AI models, pipelines, and governance
  • Senior AI/ML Architects & Risk Officers preparing for executive leadership in AI security
  • Compliance and Governance Leaders establishing ethical AI oversight frameworks
  • Certified CISOs (CCISO, PECB CISO, SANS CISO, etc.) looking to enhance their leadership toolkit with AI-driven strategies.
    Security Executives & Directors aiming to integrate AI-driven risk management and compliance solutions.
    Senior Cybersecurity Professionals preparing to transition into CISO roles with an AI-first mindset.
  • 💼 Chief AI Security Officer (CAISO) – Leads the organization’s AI security strategy, governance, and incident response.
  • 💼 AI Governance Officer – Establishes ethical, compliant, and explainable AI usage across departments.
  • 💼 VP of AI Risk & Compliance – Manages model threats, lifecycle risk, and adversarial security posture.
  • 💼 Head of AISOC – Directs an AI-specific Security Operations Center for model monitoring and response.
  • 🔹 CAISO Framework Foundations – Define and launch the CAISO office, governance charter, and oversight mandates.
  • 🔹 AI Lifecycle Security Management – Identify vulnerabilities from data ingestion to model deployment and monitoring.
  • 🔹 AISOC Leadership & Red Teaming – Build and operationalize an AISOC with dedicated red/blue/purple teaming for AI.
  • 🔹 AI GRC Program Development – Align ISO 42001, EU AI Act, NIST AI RMF, and internal risk frameworks into unified CAISO governance.
  • 🔹 Cross-Functional AI Risk Collaboration – Integrate legal, compliance, data science, and DevSecOps into CAISO oversight.
  • ✔ Establish your organization’s first CAISO Office with clear structure and measurable KPIs.
  • ✔ Future-proof your role as AI systems become part of critical infrastructure.
  • ✔ Lead AI threat modeling and adversarial defense at the enterprise level.
  • ✔ Master regulatory alignment with ISO 42001, EU AI Act, and emerging AI risk laws.
  • ✔ Design and operationalize an AI-specific SOC (AISOC) for continuous monitoring and response.
  • AI-Specific Governance and Policy Development
  • Risk Quantification for AI Models (drift, bias, poisoning)
  • Threat Simulation and Defense for ML Systems
  • Compliance Mapping with ISO 42001 & NIST AI RMF
  • Executive-Level Communication for AI Posture & ROI
  • Design & Deployment of AISOC Teams and Operations
  • Establishing AI Ethics Boards and Audit Frameworks
  • 1. Strategic Role of the CAISO
  • Understand the genesis of the CAISO role, its organizational need, and how it integrates with CAIO, CISO, and CTO responsibilities.
  • 2. Governance & Ethical AI Oversight
  • Lead the development of ethical AI policies, transparency mandates, explainability protocols, and fairness frameworks.
  • 3. AI Risk Management Frameworks
  • Develop and deploy AI-specific threat taxonomies, red team testing strategies, model evaluation metrics, and adversarial defense plans.
  • 4. AISOC Design and Incident Response
  • Build and manage an AISOC function equipped with model behavior analytics, anomaly detection, and AI-specific SOC automation.
  • 5. Compliance, Regulations & Audit
  • Ensure enterprise-wide alignment with AI governance laws through automated compliance monitoring, risk mapping, and bias audits.
  • 6. Executive Communication & Strategy
  • Present AI security posture to boards, create investment justifications, and lead organization-wide AI maturity assessments.
  • – CAISO Office Design & Governance Frameworks
  • – AI Security Operations Management
  • – Adversarial ML Red/Blue Teaming Oversight
  • – Cross-Functional Collaboration for Ethical AI
  • – Policy & Regulatory Implementation (EU AI Act, ISO 42001)
  • – Incident Response Playbooks for AI Failures
  • – Audit Automation for AI Pipelines & Decisions
  • 📌 Experience in CISO, CAIO, CTO, or equivalent executive leadership roles.
  • 📌 Familiarity with AI lifecycle, governance, or ML system architecture.
  • 📌 Background in cybersecurity, risk, or compliance is strongly recommended.
  • 📌 Pre-course reading includes an overview of ISO/IEC 42001 and the CAISO Framework document.

Training Guide

1. Course Handbook

  • Comprehensive guide covering all course modules.
  • Detailed explanations of ISO/IEC 42001 principles, requirements, and implementation strategies.

2. Lecture Slides:

  • Visual aids used during lectures for better understanding.
  • Key points, diagrams, and examples.

3. Study Notes

  • Summarized notes for quick reference.
  • Important points highlighted from each lecture.

Service Guide

1. AI-Infused Domain Frameworks (for each CISSP domain)

  • Step-by-step instructions on how to implement the ISO/IEC 42001 standard.
  • Detailed processes, templates, and best practices.

2. Policy & Template Toolkits for governance, risk, and compliance

  • Templates to help identify, evaluate, and mitigate AI-related risks.
  • Examples and guidelines on how to fill out the templates.

3. Compliance Checklists

  • Checklists to ensure all necessary steps are taken for compliance.
  • Items covering legal, ethical, and operational aspects.

Practical Tools

 1. Case Studies

  • Real-world examples of successful ISO/IEC 42001 implementation.
  • Analysis of challenges faced and solutions applied.

 2. Interactive Exercises

  • Practical exercises to apply concepts learned.
  • Group activities, role-playing scenarios, and problem-solving tasks.

3. Certification preparation guides and practice exercises.

  • Access to AI management software or platforms used during the course.
  • Training on how to use these tools effectively.

Templates and Forms

1.Policy Templates

1- Downloadable PDF Handbooks and AI Reference Docs

2- Optional Recorded Sessions for post-workshop review

3- Supportive Online Community Forum for Q&A and resource sharing

4. Certification Exam Preparation

  • – Practice exams and sample questions.
  • – Study guides focused on certification requirements.

Practices

Practices for the ISO/IEC 42001 Course
English

1. Interactive Workshops:

Hands-on sessions where participants work on real-world scenarios.
Group activities to encourage collaboration and knowledge sharing.
Practical exercises to apply concepts learned.

2. Case Study Analysis:

In-depth examination of successful ISO/IEC 42001 implementations.
Discussion of challenges faced and solutions applied.
Lessons learned and best practices.

3. Risk Assessment Exercises:

Identifying and evaluating AI-related risks.
Developing risk mitigation strategies.
Using provided templates and tools for risk management.

4. Compliance Audits:

Conducting mock internal audits.
Reviewing compliance checklists and documentation.
Identifying areas for improvement and developing action plans.

5. Role-Playing Scenarios:

Simulating real-world situations to practice decision-making.
Role-playing different stakeholders to understand various perspectives.
Problem-solving tasks to reinforce learning.

6. Policy and Procedure Development:

Creating AI management policies using provided templates.
Developing standard operating procedures for AI tasks.
Customizing documents to fit organizational needs.

7. Ethical and Legal Considerations Workshops:

Discussing ethical implications and legal requirements of AI.
Analyzing case studies on ethical dilemmas.
Developing strategies for ethical AI management.

8. Software Tools Training:

Hands-on training with AI management software or platforms.
Demonstrating how to use tools effectively.
Practice sessions to build proficiency.

9. Q&A Sessions and One-on-One Consultations:

Scheduled sessions for participants to ask questions.
Opportunities for individual consultations with instructors.
Addressing specific concerns and providing tailored advice.

10. Certification Exam Preparation:

Practice exams and sample questions.
Study guides focused on certification requirements.
Tips and strategies for successful exam performance.

Arabic

1. ورش العمل التفاعلية:

جلسات عملية حيث يعمل المشاركون على سيناريوهات واقعية.
أنشطة جماعية لتعزيز التعاون وتبادل المعرفة.
تمارين عملية لتطبيق المفاهيم المكتسبة.

2. تحليل دراسات الحالة:

فحص متعمق لتنفيذات ناجحة لمعيار ISO/IEC 42001.
مناقشة التحديات التي واجهتها والحلول المطبقة.
الدروس المستفادة وأفضل الممارسات.

3. تمارين تقييم المخاطر:

تحديد وتقييم المخاطر المتعلقة بالذكاء الاصطناعي.
تطوير استراتيجيات التخفيف من المخاطر.
استخدام القوالب والأدوات المقدمة لإدارة المخاطر.

4. تدقيق الامتثال:

إجراء تدقيقات داخلية وهمية.
مراجعة قوائم التحقق ووثائق الامتثال.
تحديد مناطق التحسين وتطوير خطط العمل.

5. سيناريوهات لعب الأدوار:

محاكاة مواقف واقعية لممارسة اتخاذ القرارات.
لعب أدوار أصحاب المصلحة المختلفين لفهم وجهات النظر المختلفة.
مهام حل المشكلات لتعزيز التعلم.

6. تطوير السياسات والإجراءات:

إنشاء سياسات إدارة الذكاء الاصطناعي باستخدام القوالب المقدمة.
تطوير إجراءات التشغيل القياسية لمهام الذكاء الاصطناعي.
تخصيص الوثائق لتناسب احتياجات المنظمة.

7. ورش العمل حول الاعتبارات الأخلاقية والقانونية:

مناقشة التداعيات الأخلاقية والمتطلبات القانونية للذكاء الاصطناعي.
تحليل دراسات الحالة حول المعضلات الأخلاقية.
تطوير استراتيجيات لإدارة الذكاء الاصطناعي بشكل أخلاقي.

8. تدريب على أدوات البرمجيات:

تدريب عملي على إدارة البرمجيات أو المنصات المستخدمة في الذكاء الاصطناعي.
عرض كيفية استخدام الأدوات بشكل فعال.
جلسات تدريب لبناء الكفاءة.

9. جلسات الأسئلة والأجوبة والمشاورات الفردية:

جلسات مجدولة لطرح الأسئلة من قبل المشاركين.
فرص للتشاور الفردي مع المدربين.
معالجة القضايا المحددة وتقديم نصائح مخصصة.

10. التحضير لامتحان الشهادة:

اختبارات تجريبية وأسئلة نموذجية.
أدلة دراسية تركز على متطلبات الشهادة.
نصائح واستراتيجيات لتحقيق أداء ناجح في الامتحان.

By incorporating these practices into the course, participants will gain practical experience and confidence in implementing the ISO/IEC 42001 standard, preparing them effectively for real-world application and certification.

  • Course Introduction
  • Certificate Introduction & Exam Details.
  • 1.1 AI Fundamentals for Executive Security
  • 1.2 Mapping AI Tools to CISO Domains
  • 2.1 Crafting AI-Ready Policies & Strategies
  • 2.2 AI in Risk & Compliance Structures
  • 3.1 Reviewing AI-Based Governance Documents
  • 3.2 Validating Threat Models & Compliance Gaps
  • 4.1 Organizational Alignment & Stakeholder Engagement
  • 4.2 Resource Allocation & ROI for AI Initiatives
  • 5.1 Establishing Oversight for AI-Driven Security Operations
  • 5.2 Ensuring Ethical AI and Regulatory Conformity
  • 6.1 Integrating AI into SOC & Incident Response Playbooks
  • 6.2 Ongoing Optimization & Threat Intelligence
  • 7.1 iCISO Exam Preparation
  • 7.2 Final Review of AI-Centric Policies & Documents

(While there are no traditional labs, each module concludes with participants developing real-world templates and documentation applicable to their organizations.)

  • Course Introduction
  • Certificate Introduction & Exam Details.

Understand the purpose, structure, and enterprise integration of the CAISO function.

  • 1.1 Defining the CAISO Role
  • 1.2 Reporting Structure & Mandate
  • 1.3 CAISO Office Structure

Build policies and oversight models aligned with transparency, fairness, and legal compliance.

  • 2.1 CAISO Governance Framework
  • 2.2 Policy Development for Responsible AI
  • 2.3 AI Governance Standards & Principles
  • 2.4 Ethical Risk Escalation

Operationalize risk frameworks to address AI-specific threats.

  • 3.1 AI Threat Taxonomy & Risk Registry
  • 3.2 AI-Specific Risk Quantification
  • 3.3 Adversarial AI Defense Models
  • 3.4 Lifecycle Threat Modeling
  • 3.5 Risk Controls & Mitigation Plans

Build and lead an AI Security Operations Center focused on real-time model monitoring and incident response.

  • 4.1 AISOC Structure and Role
  • 4.2 Detection & Monitoring Pipelines
  • 4.3 Red, Blue & Purple Teaming for AI
  • 4.4 AI-Specific Incident Response
  • 4.5 AISOC KPIs and Maturity Tracking

Ensure AI deployments are auditable, accountable, and legally compliant.

  • 5.1 Regulatory Frameworks for AI Security
  • 5.2 Building CAISO-Led Compliance Programs
  • 5.3 Automated Compliance Monitoring
  • 5.4 AI Audit Automation
  • 5.5 Ethics and Legal Risk Mitigation

Empower CAISO to lead transformation and influence AI decision-making at the highest level.

  • 6.1 CAISO-to-Board Reporting
  • 6.2 Investment Strategy & AI Risk ROI
  • 6.3 Organizational AI Maturity Benchmarking
  • 6.4 Cross-Functional Stakeholder Enablement
  • 6.5 Workforce Readiness & Upskilling

Apply all course learning to develop your enterprise-ready CAISO implementation blueprint.

  • 7.1 Drafting the CAISO Governance Charter
  • 7.2 Designing the AISOC Operating Model
  • 7.3 Developing an AI GRC Framework
  • 7.4 Executive Risk Briefing Pack
  • 7.5 Implementation Roadmap & Milestones

Capstone Project: AI-Infused CISO Playbook

Participants will build an AI-integrated security framework covering:

  • ✅ AI-powered governance models.
    AI-driven risk assessments & compliance checklists.
    Strategic AI-infused board reporting templates.
    ✅ AI-enabled incident response & SOC automation plans.

Final Outcome: A customized, AI-driven cybersecurity leadership framework tailored to each participant’s organization.

  • ✅ AI Governance & Policy Toolkits.
  • ✅ AI Risk & Threat Modeling Kits.
  • ✅ Compliance & Audit Frameworks.
  • ✅ Incident Response & Crisis Playbooks.

Certificate/accreditation and examination

1. The importance of certification:

  • Journalists and content creators who work in various media outlets and want to keep up with technological developments.

2. The Exam:

  • Journalists and content creators who work in various media outlets and want to keep up with technological developments.

3. Certificate and accreditation:

Attendance Testimonials

1. مقدمة عن التقنيات الحديثة في الإعلام:

  • تعريف بالذكاء الاصطناعي والميتافيرس.
  • أهمية تطبيقاتهم في مجالات الصحافة والإعلام والثقافة.

Q&A

1. مقدمة عن التقنيات الحديثة في الإعلام:

  • تعريف بالذكاء الاصطناعي والميتافيرس.
  • أهمية تطبيقاتهم في مجالات الصحافة والإعلام والثقافة.

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التقييم انتهى ، نراكم في محاضرات أخرى

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  • Social Media
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Ramy AlDamati

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LEVEL
Professional
Duration
5 Days
Modules
7

General Informations

  • – Delivery Languages : Arabic or English.
  • Material Languages : Arabic or English.
  • – Delivery Format: Inperson, Online , or Self-Based video lectures.
  • – Access from any device and from anywhere.
  • – Internationally recognized certificate of attendance.
  • – CPE/CPD credits.

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Join Classroom

Attend live, interactive sessions either online or Recorded inperson for a collaborative learning experience. Sessions led by industry experts, offering opportunities for networking, hands-on exercises, and real-time discussions to deepen their understanding of AI governance and oversight.

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Ready to validate your skills and knowledge by taking the exam. This assessment ensures participants are equipped to lead AI initiatives effectively, covering governance, strategy, compliance, and project management.



Study Materials

Receive comprehensive study materials and the iCISO Body of Knowledge (BoK)—a curated collection of core concepts, frameworks, and tools centered around AI-infused security. These resources are designed to bolster your learning experience and serve as a long-term reference throughout your professional development.

Virtual CAISO Services

Our Virtual CAISO™ services provide a comprehensive solution for organizations seeking to integrate AI into their operations with expert leadership and minimal overhead. We offer strategic AI consulting tailored to your business needs, helping you design, implement, and manage AI-driven solutions.



CAISO Preparedness Tooling™

The CAISO Preparedness Tooling™ equips participants with practical resources to oversee AI-infused security initiatives. It includes templates for governance policies, risk assessment frameworks, compliance checklists, and tools for managing AI-driven projects and teams. This toolkit ensures participants are ready to apply their skills immediately within their organizations.

CAISO Knowledge Resources

The CAISO Knowledge Guides are a collection of in-depth, expert-authored documents covering specialized topics like AI risk management, ethical AI practices, and regulatory compliance. These guides serve as valuable references, helping professionals stay updated and make informed decisions as they integrate AI into their cybersecurity strategies.


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